Modern Computational Environmental Science and Engineering - Improving Simulation Predictivity by Integrating Process Models and Data

现代计算环境科学与工程 - 通过集成过程模型和数据提高模拟预测能力

• 批准号: 419129317
• 负责人: Professorin Dr. Julia Kowalski
• 金额: --
• 依托单位: Lehrstuhl für Methoden der Modellbasierten Entwicklung in den Computergestützten Ingenieurwissenschaften
• 依托单位国家: 德国
• 项目类别: Heisenberg Grants
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/419129317?language=en
• 关键词: Modern; Computational; Environmental; Science; Engineering

The precondition for a Heisenberg Programme funding is high scientific quality and originality of the research project at international level and suitability for further qualification as a university teacher. Applicants need to meet all the requirements for appointment to a permanent professorship.The aim of this programme is to enable outstanding scientists to prepare for a scientific leadership function, and simultaneously work on further research topics. This research does not necessarily need to be planned and carried out in the form of a project.For this reason, and unlike the procedure in other funding programmes, both the abstracts of applications and final reports are not required and will therefore not be published in GEPRIS.

海森堡计划获得资助的先决条件是研究项目具有较高的科学质量和独创性，具有国际水平，并适合进一步获得大学教师资格。申请人需要满足任命为永久教授的所有要求。该计划的目的是使杰出的科学家为科学领导职能做准备，同时从事进一步的研究课题。这项研究并不一定需要以项目的形式进行计划和实施。因此，与其他资助计划的程序不同，申请摘要和最后报告都是不需要的，因此不会在全球环境信息系统中公布。